coord_polar: handle theta=y mostly in PolarCoordinateSystem. Investig…

…ate bug with stack bars with theta=y not rendered properly

plot-builder/src/commonMain/kotlin/org/jetbrains/letsPlot/core/plot/builder/coord/PolarCoordProvider.kt

@@ -38,11 +38,12 @@ internal class PolarCoordProvider(
  // Keep lower end as is to avoid hole in the center and to keep correct start angle.
  // Extend upper end of the radius domain by 0.15 to make room for labels and axis line.
 
- val thetaDomain = domain.xRange()
- val rDomain = domain.yRange()
+ val realDomain = domain.flipIf(flipped)
+ val thetaDomain = realDomain.xRange()
+ val rDomain = realDomain.yRange()
  val adjustedRDomain = DoubleSpan(rDomain.lowerEnd, rDomain.upperEnd + rDomain.length * 0.15)
 
- return DoubleRectangle(thetaDomain, adjustedRDomain).flipIf(flipped)
+ return DoubleRectangle(thetaDomain, adjustedRDomain)
  }
 
  override fun adjustGeomSize(hDomain: DoubleSpan, vDomain: DoubleSpan, geomSize: DoubleVector): DoubleVector {
@@ -51,16 +52,15 @@ internal class PolarCoordProvider(
 
  override fun createCoordinateMapper(adjustedDomain: DoubleRectangle, clientSize: DoubleVector): CoordinatesMapper {
  val polarProjection = object : Projection {
- val domain = adjustedDomain.flipIf(flipped)
-
- val thetaDomain = domain.xRange()
- val rDomain = domain.yRange()
+ val valDomain = adjustedDomain//.flipIf(flipped)
 
+ val rDomain = valDomain.yRange()
  val rNorm = 0.0 - rDomain.lowerEnd
+ val rDomainNorm = DoubleSpan(0.0, rDomain.upperEnd + rNorm)
+
+ val thetaDomain = valDomain.xRange()
  val thetaNorm = 0.0 - thetaDomain.lowerEnd
  val norm = DoubleVector(thetaNorm, rNorm)
-
- val rDomainNorm = DoubleSpan(0.0, rDomain.upperEnd + rNorm)
  val thetaDomainNorm = DoubleSpan(0.0, thetaDomain.upperEnd + thetaNorm)
 
  val rScaleMapper = Mappers.mul(rDomainNorm, min(clientSize.x, clientSize.y) / 2.0)
@@ -74,7 +74,7 @@ internal class PolarCoordProvider(
  override val nonlinear: Boolean = true
 
  override fun project(v: DoubleVector): DoubleVector {
- val normalized = v.add(norm)
+ val normalized = v.add(norm).flipIf(flipped)
  val theta = thetaScaleMapper(normalized.x)
  val r = rScaleMapper(normalized.y)